VCU
2017 Team Stats (9 games)
78.3
PPG
67.2
Opp
+11.1
Margin
46.8%
FG%
35.4%
3P%
70.3%
FT%
38.4
RPG
15.1
APG
10.7
TO
-
Est. poss./game
76.3
Adj PPG
65.9
Adj Opp PPG
#49
Scoring Rank
Model Outputs
2016-2017
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More โ | 1334 (#31) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1239 (#35) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1103 (#44) | HCA +89 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +11.0 (#51) | HCA +2.6 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +10.0 (#56) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.780 (#38) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.867 (#52) | AdjNet +16.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.869 (#52) | AdjNet +16.4 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.720 (#49) | AdjO 76.3 | AdjD 65.9 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.659 (#42) | AdjO 74.7 | AdjD 67.4 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.787 (#36) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. More โ | 0.777 (#35) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More โ | 1269 (#28) | RD 110 | GP 35 |
2017 Schedule & Results
2017 Roster
Minutes by Position
The surface stays filled across the five on-court roles. Use the labels or legend to isolate how each player absorbs guard-to-big minutes.
| Player | Pos | GP | MIN | PTS | REB | AST | STL | BLK | TO | FGA | Numbers | PM | PM GP | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
JeQuan Lewis
|
G | 24 | 31.2 | 15.8 | 2.4 | 4.6 | 1.6 | 0.0 | 2.5 | 5.3 | 16.7 | 232 | 30 | 7.7 | 11.2 | 42.2 | 32.8 | 86.4 | 4.28 | 128.6 | 50.0 |
Justin Tillman
|
F | 22 | 25.3 | 12.1 | 8.3 | 0.4 | 0.3 | 0.5 | 1.2 | 4.1 | 16.3 | 163 | 28 | 5.8 | 9.7 | 60.4 | 0 | 57.7 | -0.06 | 130.3 | 60.4 |
Samir Doughty
|
G | 24 | 23.1 | 9.8 | 3.8 | 2.5 | 1.0 | 0.1 | 1.9 | 3.8 | 11.6 | 228 | 30 | 7.6 | 14.1 | 46.7 | 43.5 | 74.4 | 3.42 | 108.3 | 52.2 |
Mo Alie-Cox
|
F | 24 | 25.5 | 8.6 | 3.8 | 0.8 | 0.7 | 2.0 | 1.5 | 2.7 | 11.7 | 245 | 30 | 8.2 | 13.4 | 52.3 | 0 | 75.0 | 3.12 | 143.7 | 52.3 |
Jonathan Williams
|
G | 23 | 23.5 | 8.2 | 2.0 | 3.4 | 0.8 | 0.1 | 1.5 | 4.2 | 8.8 | 153 | 30 | 5.1 | 9.5 | 45.8 | 12.5 | 84.8 | 2.22 | 85.1 | 46.4 |
Ahmed Hamdy Mohamed
|
F | 23 | 13.5 | 6.1 | 3.7 | 0.2 | 0.4 | 0.6 | 1.1 | 2.0 | 8.0 | -3 | 29 | -0.1 | -0.4 | 48.9 | 0 | 55.0 | -2.63 | 112.6 | 48.9 |
Doug Brooks
|
G | 24 | 20.2 | 5.4 | 2.8 | 1.8 | 1.5 | 0.1 | 1.1 | 2.1 | 8.3 | 149 | 30 | 5.0 | 10.9 | 41.2 | 29.0 | 90.9 | 1.67 | 115.5 | 50.0 |
Jordan Burgess
|
G | 24 | 21.8 | 5.0 | 3.6 | 1.0 | 0.6 | 0.2 | 0.8 | 2.0 | 7.7 | 45 | 30 | 1.5 | 3.2 | 46.8 | 46.2 | 41.2 | -4.66 | 111.0 | 53.2 |
De'Riante Jenkins
|
G | 16 | 13.4 | 5.0 | 1.9 | 0.6 | 0.4 | 0.2 | 0.6 | 1.4 | 6.0 | -16 | 16 | -1.0 | -3.6 | 40.9 | 46.2 | 50.0 | -4.22 | 168.4 | 54.5 |
Malik Crowfield
|
G | 23 | 10.0 | 2.0 | 0.8 | 0.4 | 0.2 | 0.1 | 0.3 | 1.0 | 2.3 | 68 | 29 | 2.3 | 10.2 | 36.4 | 33.3 | 100.0 | -0.09 | 102.7 | 52.3 |
Marquell Fraser
|
G | 10 | 4.7 | 1.2 | 0.4 | 0.0 | 0.1 | 0.0 | 0.5 | 0.6 | 0.6 | -7 | 13 | -0.5 | -6.8 | 50.0 | 0.0 | 100.0 | -3.52 | 82.0 | 50.0 |
Torey Burston
|
G | 7 | 7.0 | 1.0 | 1.1 | 0.6 | 0.3 | 0.0 | 0.4 | 1.1 | 1.4 | 13 | 10 | 1.3 | 12.6 | 12.5 | 0.0 | 60.0 | 0.08 | 34.3 | 12.5 |
Numbers/Game vs RAPM
X-axis = Numbers/Game (PTS+REB+AST+STL+BLK-TO-FGA), Y-axis = RAPM.
Advanced: Numbers = PTS+REB+AST+STL+BLK-TO-FGA, PM = total +/-, PM/G = per game, PM/40 = per 40 minutes, RAPM = Regularized Adj Plus-Minus, TS% = True Shooting, eFG% = Effective FG